Myoungchan Roh

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Myoungchan Roh is a researcher advancing automation in manufacturing through computer vision and robotics, with a focus on the challenging domain of deformable object manipulation. His key research areas include vision-based recognition, point cloud processing, and robotic assembly for industrial applications. Roh’s most cited work, "Vision Based Deformable Wires Recognition using Point Cloud in Wire Harness Supply" (2022), addresses a critical bottleneck in automation: the handling of thin, deformable wires in wire harness assembly—a task still largely dependent on manual labor due to its complexity. By developing a point cloud-based recognition system, he enables robots to perceive and manipulate these flexible objects, paving the way for greater automation in industries like automotive manufacturing. Though early in his career, with this paper garnering 3 citations, Roh’s contribution is notable for tackling a persistent industrial challenge, offering a practical solution that bridges the gap between vision systems and robotic dexterity. His work holds promise for reducing human workload and improving efficiency in assembly lines, marking him as an emerging voice in applied robotics and intelligent manufacturing.